A Hybrid Intelligent System For Forecasting Gasoline Price

a hybrid intelligent system for forecasting gasoline price

Development of a Hybrid Intelligent System for Electrical Load Forecasting

3 Introduction Introduction This paper presents a hybrid intelligent system for This paper presents a hybrid intelligent system for electrical load forecast, named by PREVER. electrical load forecast, named by PREVER. Artificial Neural Networks (ANN) were combined with Artificial Neural Networks (ANN) were combined with Heuristic Rules to create the system. Heuristic Rules to create the system....

Hybrid intelligent system for air quality forecasting using phase adjustment

The pollution caused by particulate matter (PM) concentration has a negative impact on population health, due to its relationship with several diseases. In this sense, several intelligent systems have been proposed for forecasting the PM concentration. Although it is known in the literature that PM concentration time series behave like random walk, to the authors’ knowledge there is no intellig...

A Hybrid Model for Gefcom2014 Probabilistic Electricity Price Forecasting a Hybrid Model for Gefcom2014 Probabilistic Electricity Price Forecasting

This paper provides detailed information on Team Poland’s approach in the electricity price forecasting track of GEFCom2014. A new hybrid model is proposed, consisting of four major blocks: point forecasting, pre-filtering, quantile regression modeling and post-processing. This universal model structure enables independent development of a single block, without affecting performance of the rema...

Application of a New Hybrid Method for Day-Ahead Energy Price Forecasting in Iranian Electricity Market

Abstract- In a typical competitive electricity market, a large number of short-term and long-term contracts are set on basis of energy price by an Independent System Operator (ISO). Under such circumstances, accurate electricity price forecasting can play a significant role in improving the more reasonable bidding strategies adopted by the electricity market participants. So, they cannot only r...

intelligent decision support systems for oil price forecasting

this research studies the application of hybrid algorithms for predicting the prices of crude oil. brent crude oil price data and hybrid intelligent algorithm (time delay neural network, probabilistic neural network, and fuzzy logic) were used to build intelligent decision support systems for predicting crude oil prices. the proposed model was able to predict future crude oil prices from august...